Fingerprint, a device intelligence provider, has introduced Proximity Detection, a new location-based signal for mobile devices designed to identify and link devices in close physical proximity to uncover hidden fraud patterns and detect device farms. Many mobile applications already require and rely on location data, including food and parcel delivery, financial services, iGaming, ridesharing, and social and dating platforms. However, companies often struggle to use this data effectively to link multiple devices and spot coordinated fraud attempts. Sophisticated operations, such as device farms running hundreds of fake accounts, exploit this lack of contextual intelligence to evade detection. Proximity Detection addresses the growing challenge of multi-accounting fraud and large-scale bonus and promo abuse, particularly those enabled by device farm operations. For instance, on food delivery platforms, fraudsters can create dozens of fake delivery driver accounts from a single location to claim multiple sign-up bonuses or abuse referral programs by generating fake passenger accounts that all operate from the same place. Because these patterns often involve many devices clustered in the same physical environment, combining Fingerprint’s accurate device identification with proximity insights helps fraud and risk teams spot suspicious device clusters. Proximity Detection delivers three critical fraud prevention capabilities. It links related devices faster, uncovering hidden fraud patterns like multi-accounting by connecting devices in close physical proximity. It detects device farms, spotting multiple new accounts or devices operating from the same location, even when attempting to hide behind VPNs or spoofing tools, to halt large-scale promo abuse and bot operations. Finally, it strengthens account security by flagging suspicious login attempts when devices from the same location attempt to access multiple accounts. Fingerprint built Proximity Detection with privacy at its core. The solution leverages app-level location permissions from users and provides only hashed proximity IDs in the payload, along with additional fields like precision radius and confidence. Fingerprint delivers zone-based anonymized comparison of co-located devices, ensuring enterprises can detect fraud without compromising user privacy. Dan Pinto, CEO and co-founder of Fingerprint, stated, “Enterprise companies have lacked a reliable way to use location data to link devices and quickly detect risky behavior. Proximity Detection adds a new level of location-based insights to our industry-leading device intelligence, helping our customers prevent large-scale bonus abuse, fake signups and other multi-accounting fraud. This demonstrates our commitment to continuous innovation as fraud tactics evolve, providing our customers with the stronger signals they need to stop sophisticated attacks.” Proximity Detection serves risk and fraud leaders across multiple high-impact verticals. In Fintech/Banking, it helps detect account takeover attempts by uncovering multiple accounts being accessed from devices in the same physical proximity. For iGaming, it reveals coordinated fraud, prevents online betting bonus abuse by spotting clusters of devices from the same location, and identifies attempted play from restricted regions. In the Gig Economy, including ride-hailing, food and parcel delivery, travel, and mobility, it can unveil fake drivers, passengers, or delivery accounts operating from the same hub; surface shared device clusters revealing delivery or referral abuse; and spot duplicate account creation to claim free rides or trials. Proximity Detection is available now to all Fingerprint customers. Fingerprint, powered by its device intelligence technology, processes over 100 signals from the browser, device, and network to generate a stable, persistent unique VisitorID for understanding visitor behavior. Committed to data security and privacy, Fingerprint is SOC 2 Type II, GDPR, and CCPA compliant, and is trusted by over 6,000 companies worldwide, including 16% of the top 500 websites, to help catch sophisticated fraudsters and personalize experiences for trusted users.